K. Englehart

发表

Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms.

Robert D. Lipschutz, Blair A. Lock, T. Kuiken, 2009, JAMA.

Resolving the Limb Position Effect in Myoelectric Pattern Recognition

K. Englehart, A. Fougner, E. Scheme, 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

The Science in Science Fiction's Artificial Men

K. Englehart, D. Macisaac, 2006 .

Classification of the myoelectric signal using time-frequency based representations.

K. Englehart, B. Hudgins, P. Parker, 1999, Medical engineering & physics.

Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use.

Erik Scheme, Kevin Englehart, K. Englehart, 2011, Journal of rehabilitation research and development.

Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography

Panagiotis K. Artemiadis, Antonio Bicchi, Dario Farina, 2014, Front. Neurorobot..

Myoelectric signal processing for control of powered limb prostheses.

B Hudgins, P Parker, K Englehart, 2006, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

On the Suitability of Integrating Accelerometry Data with Electromyography Signals for Resolving the Effect of Changes in Limb Position during Dynamic Limb Movement

K. Englehart, E. Scheme, A. Radmand, 2014 .

Electromyogram Whitening for Improved Classification Accuracy in Upper Limb Prosthesis Control

K. Englehart, E. Clancy, E. Scheme, 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

surface EMG variables Motor unit recruitment strategies investigated by

K. Englehart, R. Enoka, D. Farina, 2015 .

Wrist torque estimation during simultaneous and continuously changing movements: surface vs. untargeted intramuscular EMG.

K. Englehart, E. Scheme, E. Kamavuako, 2013, Journal of neurophysiology.

Determination of optimum threshold values for EMG time domain features; a multi-dataset investigation.

K. Englehart, E. Scheme, E. Kamavuako, 2016, Journal of neural engineering.

Investigation of Optimum Pattern Recognition Methods for Robust Myoelectric Control During Dynamic Limb Movement

K. Englehart, P. Kyberd, E. Scheme, 2017 .

Spatially continuous six-degrees-of-freedom position and orientation sensor

Lee A. Danisch, Kevin Englehart, Andrew Trivett, 1999, Other Conferences.

The effect of time on EMG classification of hand motions in able-bodied and transradial amputees.

Winnie Jensen, Ernest Nlandu Kamavuako, Mohsin Jamil, 2018, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

Force Estimation in Multiple Degrees of Freedom From Intramuscular Emg Via Muscle Synergies

K. Englehart, B. Hudgins, E. Kamavuako, 2013 .

Muscle Activation Patterns of the Forearm: High-Density Electromyography Data of Normally Limbed and Transradial Amputee Subjects

K. Englehart, H. Daley, U. Kuruganti, 2010 .

Spectrum of the nonstationary electromyographic signal modelled with integral pulse frequency modulation and its application to estimating neural drive information.

Kevin B Englehart, Philip A Parker, K. Englehart, 2009, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

Estimating forces at multiple degrees of freedom from surface EMG using non-negative matrix factorization for myoelectric control

K. Englehart, P. Parker, Ning Jiang, 2008, 2008 First International Symposium on Applied Sciences on Biomedical and Communication Technologies.

Compression of EMG Signals Using Deep Convolutional Autoencoders

K. Englehart, E. Scheme, M. Akhaee, 2022, IEEE Journal of Biomedical and Health Informatics.

A NOVEL ADAPTIVE FILTERING APPROACH FOR REMOVING STIMULATION ARTIFACT FROM M-WAVES

Dario Farina, Roberto Merletti, Kevin Englehart, 2004 .

Comparison of EMG feature projection techniques for force estimation

Winnie Jensen, Ernest Nlandu Kamavuako, Asim Waris, 2016 .

Multiple Binary Classifications via Linear Discriminant Analysis for Improved Controllability of a Powered Prosthesis

K.B. Englehart, L.J. Hargrove, E.J. Scheme, 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

A robust, real-time control scheme for multifunction myoelectric control

Kevin B. Englehart, Bernard Hudgins, K. Englehart, 2003, IEEE Transactions on Biomedical Engineering.

Real-time, simultaneous myoelectric control using a convolutional neural network

Erik Scheme, Mohammad Ali Akhaee, Kevin Englehart, 2018, PloS one.

A characterization of the effect of limb position on EMG features to guide the development of effective prosthetic control schemes

Erik J. Scheme, Kevin B. Englehart, A. Radmand, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Examining the adverse effects of limb position on pattern recognition based myoelectric control

A.D.C. Chan, K. Englehart, E. Scheme, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

A Real-Time Pattern Recognition Based Myoelectric Control Usability Study Implemented in a Virtual Environment

B. Hudgins, K. Englehart, L. Hargrove, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A Comparison of Surface and Intramuscular Myoelectric Signal Classification

Levi J. Hargrove, Kevin B. Englehart, Bernard Hudgins, 2007, IEEE Transactions on Biomedical Engineering.

The effect of electrode displacements on pattern recognition based myoelectric control

B. Hudgins, K. Englehart, L. Hargrove, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses

Adrian D. C. Chan, Yonghong Huang, Kevin B. Englehart, 2005, IEEE Transactions on Biomedical Engineering.

Conventional analysis of trial-by-trial adaptation is biased: Empirical and theoretical support using a Bayesian estimator

Kevin Englehart, Daniel H. Blustein, Jonathon Sensinger, 2018, PLoS Comput. Biol..

Wrist Torque Estimation during Simultaneous and 2 Continuously Changing Movements : Surface versus 3 Untargeted Intramuscular EMG 4

K. Englehart, E. Scheme, E. Kamavuako, 2013 .

Multiday Evaluation of Techniques for EMG-Based Classification of Hand Motions

Winnie Jensen, Ernest Nlandu Kamavuako, Mohsin Jamil, 2019, IEEE Journal of Biomedical and Health Informatics.

Principal Components Analysis Preprocessing for Improved Classification Accuracies in Pattern-Recognition-Based Myoelectric Control

Guanglin Li, Levi J. Hargrove, Kevin B. Englehart, 2009, IEEE Transactions on Biomedical Engineering.

Regression convolutional neural network for improved simultaneous EMG control

Erik Scheme, Mohammad Ali Akhaee, Kevin Englehart, 2019, Journal of neural engineering.

Confidence-Based Rejection for Improved Pattern Recognition Myoelectric Control

Erik J. Scheme, Kevin B. Englehart, Bernard Hudgins, 2013, IEEE Transactions on Biomedical Engineering.

An Overview Of The UNB Hand System

Adam Wilson, Kevin Englehart, Erik Scheme, 2011 .

FMG Versus EMG: A Comparison of Usability for Real-Time Pattern Recognition Based Control

Erik Scheme, Kevin Englehart, Alex Belyea, 2019, IEEE Transactions on Biomedical Engineering.

REAL-TIME MYOELECTRIC CONTROL IN A VIRTUAL ENVIRONMENT TO RELATE USABILITY VS. ACCURACY

B. Hudgins, Kevin Englehart, Blair A. Lock, 2005 .

A wavelet-based continuous classification scheme for multifunction myoelectric control

Kevin B. Englehart, Bernard Hudgins, Philip A. Parker, 2001, IEEE Transactions on Biomedical Engineering.

A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control

Erik Scheme, Mohammad Ali Akhaee, Kevin Englehart, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Support Vector Regression for Improved Real-Time, Simultaneous Myoelectric Control

Erik J. Scheme, Ali Ameri, Kevin B. Englehart, 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal

Ning Jiang, Kevin B. Englehart, Philip A. Parker, 2009, IEEE Transactions on Biomedical Engineering.

High-density force myography: A possible alternative for upper-limb prosthetic control.

Erik Scheme, Kevin Englehart, Ashkan Radmand, 2016, Journal of rehabilitation research and development.

Selective Classification for Improved Robustness of Myoelectric Control Under Nonideal Conditions

Erik J. Scheme, Kevin B. Englehart, Bernard S. Hudgins, 2011, IEEE Transactions on Biomedical Engineering.

Myo-electric signals to augment speech recognition

D. F. Lovely, B. Hudgins, K. Englehart, 2001, Medical and Biological Engineering and Computing.

Motion Normalized Proportional Control for Improved Pattern Recognition-Based Myoelectric Control

Erik Scheme, Kevin Englehart, Wendy Hill, 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Decoding a new neural machine interface for control of artificial limbs.

Ping Zhou, He Huang, Todd A Kuiken, 2007, Journal of neurophysiology.

Simultaneous and Proportional Force Estimation for Multifunction Myoelectric Prostheses Using Mirrored Bilateral Training

Dario Farina, Ning Jiang, Johnny L. G. Nielsen, 2011, IEEE Transactions on Biomedical Engineering.

A proportional control scheme for high density force myography

Erik J Scheme, Kevin B Englehart, Alexander T Belyea, 2018, Journal of neural engineering.

Biomedical Signal Processing and Control

Ernest Nlandu Kamavuako, Erik J. Scheme, Ali Ameri, 2022 .

Bagged regression trees for simultaneous myoelectric force estimation

Erik J. Scheme, Ali Ameri, Kevin B. Englehart, 2014, 2014 22nd Iranian Conference on Electrical Engineering (ICEE).

Combined surface and intramuscular EMG for improved real-time myoelectric control performance

Ernest Nlandu Kamavuako, Erik J. Scheme, Kevin B. Englehart, 2014, Biomed. Signal Process. Control..

Real-Time, Simultaneous Myoelectric Control Using Force and Position-Based Training Paradigms

Ernest Nlandu Kamavuako, Erik J. Scheme, Ali Ameri, 2014, IEEE Transactions on Biomedical Engineering.

Myoelectric Prostheses and Targeted Reinnervation

Erik Scheme, Levi J. Hargrove, Kevin Englehart, 2013 .

Surface Versus Untargeted Intramuscular EMG Based Classification of Simultaneous and Dynamically Changing Movements

Winnie Jensen, Dario Farina, Ernest Nlandu Kamavuako, 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

A comparison between force and position control strategies in myoelectric prostheses

Ali Ameri, Kevin B. Englehart, Philip A. Parker, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Continuous Locomotion-Mode Identification for Prosthetic Legs Based on Neuromuscular–Mechanical Fusion

Fan Zhang, Levi J. Hargrove, Kevin B. Englehart, 2011, IEEE Transactions on Biomedical Engineering.

An embedded controller for a 7-degree of freedom prosthetic arm

Francesco Tenore, Kevin Englehart, Stuart D. Harshbarger, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Muscle Activation Patterns of the Forearm: High Density Emg Data of Normally Limbed and Transradial Amputee Subjects

Levi J. Hargrove, Kevin Englehart, Usha Kuruganti, 2008 .

A training strategy to reduce classification degradation due to electrode displacements in pattern recognition based myoelectric control

Levi J. Hargrove, Kevin B. Englehart, Bernard Hudgins, 2008, Biomed. Signal Process. Control..

A Control System for a Powered Prosthesis Using Positional and Myoelectric Inputs from the Shoulder Complex

B. Hudgins, K. Englehart, Y. Losier, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Extracting Neural Drives from Surface EMG: A Generative Model and Simulation Studies

Ning Jiang, K.B. Englehart, P.A. Parker, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Myoelectric Control of Powered Upper-Limb Prostheses

Kevin Englehart, Bernard Hudgins, Greg Bush, 2006 .

Multiexpert automatic speech recognition using acoustic and myoelectric signals

Adrian D. C. Chan, Kevin B. Englehart, Bernard Hudgins, 2006, IEEE Transactions on Biomedical Engineering.

Pattern recognition of single and combined motions from the shoulder complex

V.R. Buerkle, K. Englehart, B. Hudgins, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Robust upper limb motion classification using Gaussian mixture models

K. Englehart, Yonghong Huang, A. Chan, 2005 .

A Comparison of Surface and Internally Measured Myoelectric Signals for use in Prosthetic Control

Levi J. Hargrove, Kevin Englehart, B. Hudgins, 2005 .

Optimized Gaussian mixture models for upper limb motion classification

A.D.C. Chan, B. Hudgins, K.B. Englehart, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Multifunction control of prostheses using the myoelectric signal

Kevin Englehart, Kevin Englehart, Bernard Hudgins, 2001 .

A MICROPROCESSOR-BASED MULTIFUNCTION MYOELECTRIC CONTROL SYSTEM

Kevin Englehart, Bernard Hudgins, Philip A. Parker, 2000 .

High density electromyography data of normally limbed and transradial amputee subjects for multifunction prosthetic control.

Kevin Englehart, Usha Kuruganti, Levi Hargrove, 2012, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

A multi-modal approach for hand motion classification using surface EMG and accelerometers

Øyvind Stavdahl, Adrian D. C. Chan, Erik J. Scheme, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Training Strategies for Mitigating the Effect of Proportional Control on Classification in Pattern Recognition–Based Myoelectric Control

Erik Scheme, Kevin Englehart, K. Englehart, 2013, Journal of prosthetics and orthotics : JPO.

Myoelectric signal compression using zero-trees of wavelet coefficients.

Kevin B Englehart, J. A. Norris, Jason A Norris, 2003, Medical engineering & physics.

The effects of control signal noise on simultaneous submovements

Jon W. Sensinger, Kevin B. Englehart, Kathleen R. Wilson, 2017, 2017 International Conference on Rehabilitation Robotics (ICORR).

EMG Pattern Recognition for Persons with Cervical Spinal Cord Injury

Erik J. Scheme, Rafaela Covello de Freitas, Nitin Seth, 2019, 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR).

Evaluation of shoulder complex motion-based input strategies for endpoint prosthetic-limb control using dual-task paradigm.

Kevin Englehart, Bernard Hudgins, Yves Losier, 2011, Journal of rehabilitation research and development.

Spatially continuous six degree of freedom position and orientation sensor

Lee A. Danisch, Kevin Englehart, Andrew Trivett, 1999 .

Continuous multifunction myoelectric control using pattern recognition

Kevin Englehart, Adrian D. C. Chan, Bernard Hudgins, 2003 .

Classification of hand and wrist tasks of unknown force levels using muscle synergies

Ernest Nlandu Kamavuako, Kevin B. Englehart, B. Atoufi, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Toward Proportional Control of Myoelectric Prostheses with Muscle Synergies

Ernest Nlandu Kamavuako, Kevin Englehart, Bernard Hudgins, 2014 .

A Multiday Evaluation of Real-Time Intramuscular EMG Usability with ANN

Winnie Jensen, Mads Jochumsen, Ernest Nlandu Kamavuako, 2020, Sensors.

Continuous Detection and Decoding of Dexterous Finger Flexions With Implantable MyoElectric Sensors

D T Hutchinson, B Greger, J J Baker, 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Effects of Confidence-Based Rejection on Usability and Error in Pattern Recognition-Based Myoelectric Control

Erik J. Scheme, Kevin B. Englehart, Jason W. Robertson, 2019, IEEE Journal of Biomedical and Health Informatics.

Influences of dynamic factors on myoelectric parameters.

D T MacIsaac, P A Parker, R N Scott, 2001, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

Fluctuating emg signals: Investigating long-term effects of pattern matching algorithms

Marco Platzner, Paul Kaufmann, Kevin Englehart, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Whitening of the electromyogram for improved classification accuracy in prosthesis control

Erik J. Scheme, Pu Liu, Edward A. Clancy, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Modeling of Muscle Motor Unit Innervation Process Correlation and Common Drive

Kevin B. Englehart, Philip A. Parker, Ning Jiang, 2006, IEEE Transactions on Biomedical Engineering.

Real-time, simultaneous myoelectric control using visual target-based training paradigm

K. Englehart, E. Scheme, P. Parker, 2014, Biomed. Signal Process. Control..

Return to work after occupational injury and upper limb amputation.

K. Englehart, A. Adisesh, W. Hill, 2017, Occupational medicine.

Hidden Markov model classification of myoelectric signals in speech

B. Hudgins, A.D.C. Chan, K. Englehart, 2001, IEEE Engineering in Medicine and Biology Magazine.

Continuous myoelectric control for powered prostheses using hidden Markov models

Adrian D. C. Chan, Kevin B. Englehart, K. Englehart, 2005, IEEE Transactions on Biomedical Engineering.

Single motor unit myoelectric signal analysis with nonstationary data

P.A. Parker, K.B. Englehart, K. Englehart, 1994, IEEE Transactions on Biomedical Engineering.

Simulation and classification of the efferent activity in brachial nerves

Rui Zhou, Ning Jiang, Kevin B. Englehart, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Enhanced EMG signal processing for simultaneous and proportional myoelectric control

Dario Farina, Ning Jiang, Kevin Englehart, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Nonlinear adaptive filtering of stimulus artifact

Richard Grieve, Kevin B. Englehart, Bernard Hudgins, 2000, IEEE Transactions on Biomedical Engineering.

Simultaneous and Proportional Force Estimation in Multiple Degrees of Freedom From Intramuscular EMG

Winnie Jensen, Dario Farina, Ernest Nlandu Kamavuako, 2012, IEEE Transactions on Biomedical Engineering.